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A machine learning model is deployed to production in Azure Machine Learning and is actively...

A machine learning model is deployed to production in Azure Machine Learning and is actively serving predictions for a business application. The model was trained by using a historical dataset that represented expected input patterns at the time of deployment.

The team working on the model must ensure the following:

Changes in input data distribution are detected.

Appropriate actions are triggered when predefined thresholds are exceeded.

You need to configure monitoring to meet the requirements.

Which configuration should you use for each requirement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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